Land Subsidence mapping with Sentinel-1

RUS environment demo: Land Subsidence mapping with Sentinel-1

This training is in the past.

Land Subsidence mapping with Sentinel-1

In this webinar, you will learn how to use SAR
interferometry (InSAR) to identify and map land subsidence using the ESA SNAP
Sentinel-1 Toolbox. We will show you how to access the RUS Service and how to
download, process, analyze and visualize the free data acquired by the
Copernicus satellites.

Background

Land subsidence in Mexico City caused by groundwater
over-exploitation is estimated to be more than 9 meters over the last century,
resulting in damages to buildings, streets, sidewalks, sewers, storm water
drains and other infrastructure.

Previous studies of SAR Interferometry using
ERS data showed a maximum subsidence rate larger than 30 cm/year in some parts
of the city. Because the city is partially built on the area of a former lake
(Lago Texcoco), it rests on the heavily saturated clay, which is collapsing due
to the over-extraction of groundwater. Current subsidence rates using
Sentinel-1 SAR data approximate 2.5 cm/month. InSAR is an effective method that
allows monitoring of ground displacement over large areas, giving us insight to
the spatial distribution of the subsidence rates.

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